Cintas is a facilities services company that provides uniforms, mats, mops, towels, restroom supplies, first aid, and safety products. They are seeking an IT Data Scientist – Level 1 to work on data science, machine learning, and analytics projects while also providing minor technical support. The role involves acquiring data, examining trends, assisting in AI model development, and developing analytical reports.
Work on small to moderately complex projects that focus on a single area of technical expertise.
Responsible for data science, machine learning, analytics and, also involved in minor technical support situations.
Engage with business analytics for machine learning classification, prediction and collecting requirements.
Acquire data from transaction systems like SAP - ECC, CRM, EWM, EM, BW, Hybris using various tools like HANA SDI & SDA adaptors, file, OData and other 3rd party adaptors as applicable.
Examine trends and patterns in data using statistical algorithms.
Assist in the development of AI models.
Develop analytical reports to present data visually to end users.
Participate in software development life cycles.
Provide hyper-care during go-live, and helping resolve disruptions.
Qualification
Required
Bachelor's degree or equivalent
Minimum 1 year of experience in Information Technology or Data Science
Experience in machine learning
Experience in data analytics
Preferred
Experience with SAP ECC, CRM, EWM, EM, BW, Hybris
Experience with Oracle SQL or similar SQL
Experience with HANA SDI & SDA adaptors
Experience within the development of AI models
Benefit
Comprehensive and competitive medical, dental and vision benefits
Flexibility with four different medical plan options; one plan is offered at zero cost
Competitive Pay
401(k) with Company Match/Profit Sharing/Employee Stock Ownership Plan (ESOP)
Disability, Life and AD&D Insurance, 100% Company Paid
Paid Time Off and Holidays
Skills Development, Training and Career Advancement Opportunities
Cintas is a facilities services company that provides uniforms, mats, mops, towels, restroom supplies, first aid, and safety products.
